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Connectedness to Nature Does Not Explain the Variation in Physical Activity and Body Composition in Adults and Older People.
Teixeira, Andreia; Gabriel, Ronaldo; Martinho, José; Pinto, Graça; Quaresma, Luís; Faria, Aurélio; Oliveira, Irene; Moreira, Helena.
  • Teixeira A; University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Gabriel R; Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Martinho J; Geosciences Centre (CGeo), Department of Geology, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Pinto G; Center in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Quaresma L; Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Faria A; Center in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sport Science, University of Beira Interior, 6201-001 Covilhã, Portugal.
  • Oliveira I; Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Department of Mathematics, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
  • Moreira H; Center for Computational and Stochastic Mathematics, CEMAT-IST-UL, University of Lisbon, 1600-214 Lisbon, Portugal.
Int J Environ Res Public Health ; 18(22)2021 11 14.
Article in English | MEDLINE | ID: covidwho-1534043
ABSTRACT
Connectedness to nature (CN) is a significant predictor of pro-environmental behaviours, human health and well-being. However, research on how this connection to the natural world might promote a more active lifestyle and improve body mass composition according to gender is lacking. This study investigated the influence of CN on physical activity (PA) and body composition in adults and older people. We recruited a sample of 219 individuals (77 men and 142 women), and a self-administered questionnaire was used to measure CN and obtain demographic data. Body composition was assessed by bioimpedance, and PA was assessed by accelerometry. Correlations and stepwise multiple regressions were used in data analysis. CN's association with other variables was more pronounced in women than in men, and we only identified significant associations with steps/day and body composition. However, this variable would not be included in the regression models that we developed. Adiposity levels and muscle status were significant predictors of PA in women. In both genders, age, percentage of fat mass and fat-free mass were selected as regressors in the models developed for visceral fat area and muscle condition (R2 Adjusted ≥ 0.908).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Body Composition / Motor Activity Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph182211951

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Body Composition / Motor Activity Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph182211951